Harald MartensMartens, Harald

Professor II

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Phone: +47-6496-5285

Present positions: Professor II (Norwegian University of Life Sciences, UMB/CIGENE), senior scientist at the Norwegian Food Research Institute – Nofima Mat AS, Ås, adjunct professor at Faculty of Life Sciences, U. of Copenhagen.

Degrees and honours: M.Sc. in biochemistry (1971) and Dr. Techn. in chemometrics (1985) at the Norwegian University of Science and Technology. Member of the Norwegian academy of technical sciences. Honorary member of The Norwegian chemometrics society under the Norwegian chemical society; Herman Wold gold medal from the Swedish chemical society. Chemometrics prize, Eastern Analytical 1999.

Professional background and academic career: Guest researcher, multivariate analysis Kyoto University, Japan (1972-1973); Protein researcher at  Matforsk (1973-1975) and Lund University (1975-1976); Chemometrician at Matforsk (1976-1985) and at The Norwegian Computing Center, Oslo (1986-1988). Guest professor U. California Davis 1988-1989.  Professor II (chemometrics) at Dept. of physical chemistry, Norwegian U.of Science and Technology, Trondheim 1997-2000). Guest professor  of chemometrics at Bio-centrum, Technical U. of Denmark (1997-2000). Adjunct prof., LIFE/U. of Copenhagen (2002-). Professor II (Norwegian University of Life Sciences, CIGENE /IMT/UMB) (2003-.), senior scientist at the Norwegian Food Research Institute – Matforsk/Nofima Mat, Ås (2003-.)

Research experience:
Functional protein chemistry: Methods to measure protein denaturation in intact samples (thermal analysis), and their consequences (rheology and sensory analysis) (1974-1983).
Chemometrics and statistics: Active from 1972 and onwards; several books on the subject, including Martens & Næs (1989) Multivariate calibration (Wiley, current citation index: >2500). Co-inventor of several well known methods, including Partial Least Squares Regression (PLSR) (1983) and its jack-knife validation (2001), Multiplicative Signal Correction (MSC 1983) and Extended Multiplicative Signal Correction (EMSC 1999). Co-inventor of dual-domain soft modeling IDLE method for compression of video sequences (1989-91). Co-developer of pixel-based analysis methods for 2DGE proteomics data (1989-.) Theoretical biology: Multivariate detection and inspection of chaotic processes in high-dimensional non-linear dynamic models mathematical models (1992). Explorative analysis of complex high-dimensional non-linear dynamic models of cell differentiation (2006-.). Statistically designed computer simulation studies (2006-.). Bio-spectroscopy: New developments in multivariate calibration to obtain sufficient selectivity enhancement for high-speed spectrophotometric analysis of intact samples (1972-85), new applications of high-speed, low-cost multichannel NIR biospectroscopy of muscle and plant seed material (1979-85) and micro-organisms (1999), and of FTIR biospectroscopy of milk and of microorganisms (2005-.).

Experience in R&D management: Original designer of data analysis software The Unscrambler (1981; see www.camo.com). Founder and manager of commercial research lab for model-based video coding; Consensus Analysis AS, Ski, Norway (1989 - 1994) and senior researcher at International Digital Technologies Inc / Dynapel AS., Munich (1994-1997).

Relevant recent activity: Works presently as cross-disciplinary “libro” at several institutions at Campus Ås, based on UMB/CIGENE and Nofima Mat employment. Present research activities include:
A) Soft modeling of hard models –“ modellometrics”: The use of experimental design and multivariate bilinear modeling for capturing high-dimensional non-linear dynamic models: A meeting of different cultures for using mathematics. Mathematical problem reduction and validation, data-driven self-modelling, overview of causally-cohesive genotype-phenotype relationships, methods for comparing alternative mathematical models.
B) Bio-chemometrics applications functional genomics: Calibration and use of high-dimensional FTIR measurements in milk, for determination of fatty acid profile and other quality parameters in animal breeding and in genetics. Multi-trait genomics modeling.
C) Bio-chemometrics method improvement: validation, heterogeneity, nonlinearity, cross-disciplinary integration etc. Separation of different physical and chemical sources of variation in multi-channel measurements by model-based preprocessing. Improved statistical validation for multivariate methods (PLSR, EMSC etc). Chemometric modelling in genetics. Domain-transforms for efficient extraction of covariation from DNA sequence data. Data modeling in proteomics, functional genomics and biospectroscopy. Time-lapse imaging of living systems. Improved teaching of data analysis to bioscientists.

Books:
Martens, H. and Russwurm, H. jr (editors) 1983: Food Research and Data Analysis, Applied Science Publ. London,
Martens H.& Næs T. 1989: Multivariate Calibration J.Wiley & Sons, Ltd Chichester (current citation index: >2500).
Martens, H. and Martens, M. 2001: Multivariate Analysis of  Quality.  An Introduction. Monograph, 450 pages, J. Wiley & Sons, Ltd).

Selected publications 2005-2009:
  • Kohler, A. et al. (2005). EMSC as a tool for separation and characterisation of physical and chemical information in FT-IR microscopy images of cryo-sections of beef loin. Appl. Spectroscopy 59: 707-716.
  • Martens, H. et al. (2005). Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR. Comp. Stat. Data Analysis 48: 103-123
  • Martens, H. (2005) Domino PLS: A framework for multi-directional path modelling. In T. Aluja, J. Casanovas, V. Esposito Vinzi, A. Morineau and M. Tenenhaus (eds.) PLS and related methods. SPAD pp 125-132.
  • Kohler, A. et al. (2005) EMSC as a tool for separation and characterisation of physical and chemical information in FT-IR microscopy images of cryo-sections of beef loin. Appl. Spectroscopy 59: 707-716.
  • Oust, A. et al. (2006). Analysis of co-variation patterns in gene expression data and FT-IR spectra. J. Microbiol.l Methods 65: 573-584.
  • Chou, I.-C. et al. (2006). Parameter Estimation in Biochemical Systems Models with Alternating Regression. Theoret. Biol. Medical Modelling 3: 25-36.
  • Anderssen, E., Dyrstad, K., Westad, F., Martens, H., (2006) Reducing over-optimism in variable selection by cross-model validation, Chemometrics and Intelligent Laboratory Systems,84,1-2 
  • Bruun, S. W., Kohler, A., Adt, I., Sockalingum, G. D., Manfait, M., Martens, H. (2006) Correcting attenuated total reflection-Fourier transform infrared spectra for water vapour and carbon dioxide. Applied Spectroscopy 60 (9) 1029-1039.
  • Grove H., Hollung K., Uhlen A.K., Martens H. And Færgestad E.M. Challenges related to analysis of protein spot volumes from two-dimensional gel electrophoresis as revealed by replicate gels (2006). J Proteome Res 5: 3999-3410
  • Thennadil S, Martens H, Kohler A (2006) Physics-based Multiplicative Scatter Correction Approaches for Improving the Performance of Calibration Models, Applied Spectroscopy, 60 (3) 315-321.
  • Grove H, Hollung K, Uhlen AK, Martens H, Faergestad EM. (2006) Challenges related to analysis of protein spot volumes from two-dimensional gel electrophoresis as revealed by replicate gels. J Proteome Res. 2006 Dec;5(12):3399-410.
  • Chou, I-C., Martens, H. and Voit, E.O. (2007) Parameter estimation of S-distribution with alternating regression. SORT 31 (1) 55-74.
  •  Indahl, U.G., Martens, H. and Næs,T. (2007) From Dummy Regression to Prior Probabilities in PLS-DA. J.of Chemometrics, in press (Online: DOI: 10.1002/cem.1061).
  •  Kohler A, Hanafi M, Bertrand D, Oust Janbu A, Møretrø T, Naderstad K, Qannari M, Martens H, (2007) New concepts for investigating several sets of data in modern bioscience, in: Modern concepts in biomedical vibrational spectroscopy, Blackwell Publishing, USA, Editors: Lasch P, Kneipp J.
  • Martens, H., Kohler, A., Afseth, N. K., Wold, J. P., Hersleth, M., Berget, I., Ådnøy, T., Skaugen, M., Isaksson, T., Vegarud, G., Criscione, A., Frøst, M. B., Randby, Å. , Prestløkken, E., Berg, P., Kent, M., Lien, S., Omholt, S. W. (2007) High-throughput measurements for functional genomics of milk. Journal of Animal and Feed Sciences, 16 (1), 172–189.
  • Martens, H., Bruun, S. W., Adt, I., Sockalingum, G. D., Kohler A (2007) Correction for temperature- and salt- effects of water in FTIR bio-spectroscopy by EMSC. Journal of Chemometrics 20, 402-417.
  •  Kohler A, Bertrand D, Martens H, Hannesson K, Kirschner C, Ofstad R.(2007) Multivariate image analysis of a set of FTIR microspectroscopy images of aged bovine muscle tissue combining image and design information. Anal Bioanal Chem. 2007 Oct; 389 (4):1143-53. Epub 2007 Jul 17.
  • Faergestad EM, Rye M, Walczak B, Gidskehaug L, Wold JP, Grove H, Jia X, Hollung K, Indahl UG, Westad F, van den Berg F, Martens H.Pixel-based analysis of multiple images for the identification of changes: a novel approach applied to unravel proteome patterns [corrected] of 2-D electrophoresis gel images. Proteomics. 2007 Oct;7(19):3450-61. Erratum in: Proteomics. 2007 Dec;7(24):4613.
  • Solve Sæbø, Trygve Almøy, Arnar Flatberg, Are H. Aastveit and Harald Martens (2008) LPLS-regression: a method for prediction and classification under the influence of background information on predictor variables. Chemometrics and Intelligent Laboratory Systems, Volume 91, Issue 2, 15 April 2008, Pages 121-132
  • Rye MB, Faergestad EM, Martens H, Wold JP, Alsberg BK. (2008) An improved pixel-based approach for analyzing images in two-dimensional gel electrophoresis. Electrophoresis. 2008 Mar; 29(6):1382-93
  • Martens, M., Martens, H. (2008) The Senses Linking Mind and Matter. Mind and Matter, Volume 6, Number 1, 2008 , pp. 51-86(36)
  • A Kohler, AO Janbu, H Martens (2008) Interpreting several types of measurements in bioscience, in: Modern concepts in biomedical vibrational spectroscopy, John Wiley & Sons, USA, Editors: Lasch P, Kneipp J.
  • A. Kohler, J. Sulé-Suso, G. D. Sockalingum, M. Tobin, F. Bahrami, Y. Yang, J. Pijanka, P. Dumas, M. Cotte, D. G. van Pittius, G. Parkes, and H. Martens (2008) Estimating and Correcting Mie Scattering in Synchrotron-Based Microscopic Fourier Transform Infrared Spectra by Extended Multiplicative Signal Correction. Applied Spectroscopy, Vol. 62, Issue 3, pp. 259-266.
  •  Færgestad E M, Sæbø S, Langsrud Ø, Høy M, Kohler A, Liland K H, Hollung K, Almergren J, Anderssen E., Martens H (2009) Analysis of megavariate data in functional genomics In: Brown S, Tauler R, Walczak R (eds.) Comprehensive Chemometrics, volume 2, Oxford: Elsevier.
  • Harald Martens, Siren R Veflingstad, Erik Plahte, Magni Martens, Dominique Bertrand and Stig W Omholt (2009) The genotype-phenotype relationship in multicellular pattern-generating models - the neglected role of pattern descriptors. BMC Systems Biology, 3:87 doi:10.1186/1752-0509-3-87
  • Olaf Wolkenhauer, Angelyn Lao, Stig Omholt, Harald Martens (2009) Systems Approaches in Molecular and Cell Biology: Making Sense out of Data; Providing Meaning to Models. In 'Independent Component Analysis, Wavelets, Neural Networks, Biosystems and Nanoengineering VII', ( Harold H. Szu, F Jack Agee, eds) , Proc. of SPIE Vol. 7343, 734318m .
  • Færgestad E M, Sæbø S, Langsrud Ø, Høy M, Kohler A, Liland K H, Hollung K, Almergren J, Anderssen E, Martens H (2009) Analysis of megavariate data in functional genomics In: Brown S, Tauler R, Walczak R (eds.) Comprehensive Chemometrics, volume 2, Oxford: Elsevier.
  • Kohler A, Zimonja M, Segtnan V, Martens H (2009) Model based pre-processing in biospectroscopy, in: Comprehensive Chemometrics In: Brown S, Tauler R, Walczak R (eds.) Comprehensive Chemometrics, volume 2, pp. 139-162 Oxford: Elsevier.
  • A. Kohler, U. Böcker, I. Sørhus, Warringer, A. Blomberg, S. W. Omholt, E.Stark and H. Martens (2009) Reducing inter-replicate variation in fourier transform infrared spectroscopy by extended multiplicative signal correction. Applied Spectroscopy; 63(3):296-305.